BIG Data Center

Other names: BIGD, National Genomics Data Center, Beijing Institute of Genomics Data Center, NGDC, 国家基因组科学数据中心

The BIG Data Center at Beijing Institute of Genomics (BIG) of the Chinese Academy of Sciences provides a suite of database resources in support of worldwide research activities in both academia and industry. With the vast amounts of multi-omics data generated at unprecedented scales and rates, the BIG Data Center is continually expanding, updating and enriching its core database resources through big data integration and value-added curation. Resources with significant updates in the past year include BioProject (a biological project library), BioSample (a biological sample library), Genome Sequence Archive (GSA, a data repository for archiving raw sequence reads), Genome Warehouse (GWH, a centralized resource housing genome-scale data), Genome Variation Map (GVM, a public repository of genome variations), Science Wikis (a catalog of biological knowledge wikis for community annotations) and IC4R (Information Commons for Rice). Newly released resources include EWAS Atlas (a knowledgebase of epigenome-wide association studies), iDog (an integrated omics data resource for dog) and RNA editing resources (for editome-disease associations and plant RNA editosome, respectively). To promote biodiversity and health big data sharing around the world, the Open Biodiversity and Health Big Data (BHBD) initiative is introduced. All of these resources are publicly accessible.

Webpage:
http://bigd.big.ac.cn/

Licence:
Name: Creative Commons Attribution 3.0 China Mainland (CC BY 3.0 CN)
URL: https://creativecommons.org/licenses/by/3.0/cn/

Publications: (6)

Tags:

biocuration biological sample biological sample annotation computational predictions dna methylation disease gene expression gene expression gene-disease association genome literature curation long non-coding rna rna sequence real time polymerase chain reaction resource metadata single nucleotide polymorphism taxonomic classification rna epigenomics genomics metabolomics proteomics sequencing transcriptomics

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